{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-21T10:38:20.253997Z",
     "start_time": "2019-08-21T10:38:19.841156Z"
    }
   },
   "outputs": [],
   "source": [
    "import torch\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from utils import *\n",
    "plt.style.use('ggplot')\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Training Curves\n",
    "\n",
    "Use this in a similar manner to tensorboard, to check that things are training."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-21T09:31:00.874573Z",
     "start_time": "2019-08-21T09:30:18.420646Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x864 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "checkpoints = ['resnet9','resnet18','resnet34','resnet50'] # put your checkpoint files in here\n",
    "\n",
    "cols = 2\n",
    "rows = len(checkpoints) // cols\n",
    "\n",
    "fig, axs = plt.subplots(rows,cols,figsize=(20, rows*6)) # width=20cm, height=6cm per row\n",
    "axs = axs.ravel()\n",
    "\n",
    "for checkpoint, ax in zip(checkpoints, axs):\n",
    "    sd = torch.load('checkpoints/%s.t7' % checkpoint, map_location='cpu')\n",
    "    ax.plot(list(range(len(sd['error_history']))), sd['error_history'])\n",
    "    ax.set_xlabel('Epoch')\n",
    "    ax.set_ylabel('CIFAR-10 top-1 err')\n",
    "    ax.legend([checkpoint])\n",
    "    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Given a family of ResNets we can extract a Pareto curve of accuracy vs. number of parameters:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-06-27T09:00:35.668985Z",
     "start_time": "2019-06-27T09:00:35.193584Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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ERESkhqpoRHwy8IK19g/Af9l2asotJBrnytgNmGyt3fKZTzvnXrPW9gNwzo0E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\nLJFdX2wAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7fcb49cd1da0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize=(12,6))\n",
    "\n",
    "x = []\n",
    "y = []\n",
    "\n",
    "for checkpoint in checkpoints:\n",
    "    sd = torch.load('checkpoints/%s.t7' % checkpoint, map_location='cpu')\n",
    "    \n",
    "    x_  = get_no_params(sd['net'])\n",
    "    y_  = sd['error_history'][-1]\n",
    "    x.append(x_)\n",
    "    y.append(y_)\n",
    "    \n",
    "for i, net in enumerate(checkpoints):\n",
    "    offset = 0.05\n",
    "    ax.annotate(net, (x[i]+offset, y[i]+offset))    \n",
    "\n",
    "    \n",
    "ax.set_xlabel('Number of parameters')\n",
    "ax.set_ylabel('CIFAR-10 top-1 err')\n",
    "ax.plot(x,y, marker='o')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can see immediately that ResNet-50 is over-parameterised for a small task like CIFAR-10. One could employ some more training tricks, but for fairness I will just consider the \"Pareto frontier\" to be ResNet-9-18-34.\n",
    "\n",
    "The idea proposed in Han et al. is that we can beat this Pareto frontier by keeping the network structure the same but removing individual weights."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pruning Curves\n",
    "\n",
    "Check that the model is pruning correctly. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-08-21T10:50:39.670456Z",
     "start_time": "2019-08-21T10:50:39.183674Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig,ax      = plt.subplots(figsize=(12,6))\n",
    "prune_rates = np.arange(0,100,step=5)\n",
    "#'resnet9','resnet18','resnet34',\n",
    "checkpoints = ['wrn_40_2_1']\n",
    "\n",
    "def get_nonzeros(sd):\n",
    "    tot = 0\n",
    "    for mask in sd['masks']:\n",
    "        tot += torch.sum(mask!=0)\n",
    "    return tot\n",
    "\n",
    "for checkpoint in checkpoints:\n",
    "    x = []\n",
    "    y = []\n",
    "    for prune_rate in prune_rates:\n",
    "        sd = torch.load('checkpoints/%s.t7' % str(checkpoint + '_l1_' + str(prune_rate)), map_location='cpu')\n",
    "        x.append(get_nonzeros(sd))\n",
    "        y.append(sd['error_history'][-1])\n",
    "    ax.plot(x,y,marker='o')\n",
    "\n",
    "x = []\n",
    "y = []\n",
    "\n",
    "for checkpoint in checkpoints:\n",
    "    sd = torch.load('checkpoints/%s.t7' % checkpoint, map_location='cpu')\n",
    "    \n",
    "    x_  = get_no_params(sd['net'])\n",
    "    y_  = sd['val_errors'][-1]\n",
    "    x.append(x_)\n",
    "    y.append(y_)\n",
    "    \n",
    "for i, net in enumerate(checkpoints):\n",
    "    offset = 0.1\n",
    "    ax.annotate(net, (x[i]+offset, y[i]+offset))    \n",
    "ax.plot(x,y, marker='o')\n",
    "\n",
    "ax.set_xlabel('Num nonzero params')\n",
    "ax.set_ylabel('Top-1 Error (%)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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